Xiangxu Wang — accepted AI-conference papers

2026

Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery

Xiangxu Wang, Tianhong Zhao, Wei Tu, Bowen Zhang, Guanzhou Chen, Jinzhou Cao

AAAI 2026technical

Origin-Destination (OD) flow matrices are critical for urban mobility analysis, supporting traffic forecasting, infrastructure planning, and policy design. Existing methods face two key limitations: (1) reliance on costly auxiliary features (e.g., Points of Interest, socioeconomic statistics) with l

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2025

SemiGPS: GraphGPS-based Semi-supervised Graph Learning for Sector-Specific GDP Mapping

Jinzhou Cao, Xiangxu Wang, Jiashi Chen, Bowen Zhang, Yahan Ma, Tianhong Zhao

ICASSP 2025accepted

Accurate forecasting of granular socioeconomic indicators, such as GDP, is essential for informed economic decision-making. Despite pioneering efforts to harness multi-modal data using traditional supervised or self-supervised learning methods for economic prediction, effectively integrating their f…

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